# 15172658790/Blog

中国科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)

Repository: https://github.com/15172658790/Blog
Canonical: https://ross.abutalabs.com/products/15172658790-blog
Language: C++
License Family: other
Last push: 2019-02-27T02:34:00+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2745, "days_push": 2745, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1076, forks 432 (observed 2026-08-28T04:03:29.410583+00:00)

## What it is
A curated collection of course resources from the University of Science and Technology of China (USTC), primarily for the School of Computer Science. It includes electronic textbooks, lecture slides, past exams, homework solutions, labs, and study notes organized by course.

## Use cases
- find USTC computer science course materials
- download lecture slides and past exams for CS courses
- study compilers, OS, or algorithms using real university course resources
- compare homework and lab assignments across instructors
- browse a course relationship map for USTC's CS curriculum
- find reference books and review notes for Chinese university courses

## When to choose
- you are a USTC student or want authentic Chinese university CS course materials
- you want textbooks, slides, exams, and solutions organized per course
- you want to self-study CS topics following a real curriculum

## When to avoid
- you need actively maintained software or code libraries
- you need English-language course materials
- you need materials with a clear open-source software license

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: education, tutorials, awesome-lists
- platform: cross-platform
- tags: course-materials, ustc, lecture-notes, textbooks, exam-papers, chinese, computer-science-courses, computer-science

## Member repositories
- 15172658790/Blog (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:29.410583+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:53:18.463694+00:00, confidence not recorded.
  - readme: https://github.com/15172658790/Blog (fetched 2026-08-28T04:03:29.410583+00:00, sha 5dfbf872187b)
- Data as of 2026-08-30T08:39:29.467469+00:00.